Triple

T1979527
Position Surface form Disambiguated ID Type / Status
Subject Team IHMC Robotics E42992 entity
Predicate basedIn P40 FINISHED
Object Ocala, Florida E175983 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Ocala, Florida | Statement: [Team IHMC Robotics, basedIn, Ocala, Florida]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ocala, Florida
Context triple: [Team IHMC Robotics, basedIn, Ocala, Florida]
  • A. Ocala chosen
    Ocala is a city in north-central Florida known for its thoroughbred horse farms and historic downtown.
  • B. Ochopee, Florida
    Ochopee, Florida is a tiny unincorporated community in the Florida Everglades best known for having one of the smallest post offices in the United States.
  • C. Sanford, Florida
    Sanford, Florida is a historic city in central Florida on the southern shore of Lake Monroe, known as a transportation hub and gateway to the Orlando metropolitan area.
  • D. Kissimmee, Florida
    Kissimmee, Florida is a central Florida city in Osceola County known for its proximity to major Orlando-area theme parks and tourist attractions.
  • E. Sarasota, Florida
    Sarasota, Florida is a Gulf Coast city known for its beaches, arts and cultural scene, and as a longtime hub for Major League Baseball spring training.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69a8871289048190b00b0d7744b7b2b1 completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb7c698748190a10da0901952df07 completed March 7, 2026, 5:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae0ad2a3888190a93e54b53a071afc completed March 8, 2026, 11:48 p.m.
Created at: March 4, 2026, 7:36 p.m.